Location Selection Strategy of Distribution Centers Based on Artificial Fish Swarm Algorithm Improved by Bacterial Colony Chemotaxis,ERICDATA高等教育知識庫
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篇名
Location Selection Strategy of Distribution Centers Based on Artificial Fish Swarm Algorithm Improved by Bacterial Colony Chemotaxis
並列篇名
Location Selection Strategy of Distribution Centers Based on Artificial Fish Swarm Algorithm Improved by Bacterial Colony Chemotaxis
作者 Teng FeiLiyi ZhangXiaoqin ZhangQi ChenJingyi Liang
英文摘要
The distribution center (DC) is crucial in the connection between the suppliers and customers, thus the strategy for the selection and optimization of distribution center location plays an important role in logistics systems. In order to minimize the total cost, a distribution center location model with the lowest total cost is established. Accordingly, a distribution center location strategy based on artificial fish swarm algorithm improved by bacterial colony chemotaxis (BCC-AFSA) is proposed aiming to obtain a more feasible distribution center location strategy promptly. The algorithm of BCCAFSA applies bacterial colony chemotaxis (BCC) to artificial fish swarm algorithm (AFSA) when the results do not change or change infinitesimally after multiple iterations. As result, the global optimization ability of the algorithm is improved. Through algorithm tests and example simulation, it is shown that the improved BCCAFSA is more effective in the location selection strategy of distribution centers.
起訖頁 683-693
關鍵詞 Distribution centerBacterial colony chemotaxisArtificial fish swarm algorithmLocationStrategy
刊名 網際網路技術學刊  
期數 202105 (22:3期)
出版單位 台灣學術網路管理委員會
DOI 10.3966/160792642021052203017  複製DOI
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